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2161
Anatomical structure of the medullary cavity of proximal femur with three-dimensional computed tomography
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2162
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2163
The Temporal Structure of the Running Cycle, an Essential Element in the Analysis: A Critical Review
Published 2025-06-01“…Additionally, methodologies for identifying these events through dynamometry and motion capture are evaluated, emphasizing their role in contextualizing kinetic and kinematic data. By integrating this temporal structure, the study aims to standardize biomechanical assessments of running technique, fostering more consistent comparisons across studies. …”
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2164
Fine Structure of Glycosaminoglycans from Fresh and Decellularized Porcine Cardiac Valves and Pericardium
Published 2012-01-01“…Cardiac valves are dynamic structures, exhibiting a highly specialized architecture consisting of cells and extracellular matrix with a relevant proteoglycan and glycosaminoglycan content, collagen and elastic fibers. …”
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2165
Change in Organizational Structure Influences Perceived Leadership in a Dutch Radiotherapy Center
Published 2025-07-01“…This study examines the impact of structural changes on perceived leadership styles in a Dutch radiotherapy center (RTc) following the implementation of proton therapy, a radical innovation.Patients and Methods: A mixed-method approach combined leadership surveys, with data collected at three time points, before and after structural changes in 2022. …”
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2166
Monitoring of the assortment structure and price dynamics of hepatoprotectors in the modern Ukrainian pharmaceutical market
Published 2020-11-01“…During investigation, systemic, structural, logical practices and method of summarization were used. …”
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2167
Gender prevalence and pattern structure of various online behaviors among adolescents in Abakan
Published 2021-10-01“…The aim of the study was to research the gender prevalence and pattern structure of various types of online behavior in adolescents from Abakan (Khakassia). …”
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2168
Evaluating the effects of coffee consumption on the structure and function of the heart from multiple perspectives
Published 2025-04-01“…ObjectiveTo assess the causal relationship between coffee consumption and cardiac structure and function in elderly European populations using multiple genetic methodologies.MethodsLeveraging genome-wide association study (GWAS) data from elderly European populations, we conducted linkage disequilibrium score regression (LDSC), two-step Mendelian randomization (MR), and colocalization analyses to investigate genetic associations, causal relationships, and mediating effects among these factors. …”
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2169
THE PALEOPROTEROZOIC IMANDRA-VARZUGA RIFTING STRUCTURE (KOLA PENINSULA): INTRUSIVE MAGMATISM AND MINERAGENY
Published 2015-09-01“…The article provides data on the structure of the Paleoproterozoic intercontinental Imandra-Varzuga rifting structure (IVS) and compositions of intrusive formations typical of the early stage of the IVS development and associated mineral resources. …”
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2170
Unveiling the Interior Structure and Thermal Evolution of Super-Earth GJ 486b
Published 2025-01-01“…This study investigates the interior structure, thermal evolution, and atmospheric dynamics of the super-Earth GJ 486b using SERPINT , a 1D self-consistent coupled interior structure and evolution model, aiming to understand the planet’s thermal evolution based on an Earth-like structure. …”
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2171
Internet addiction in adolescents in Central Siberia: analysis of prevalence and structure of consumed content
Published 2021-01-01“…The aim of this study was to investigate the prevalence of Internet addiction (IА) and the structure of consumed content among adolescents in Central Siberia.Materials and methods. …”
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2172
Synergizing population structure, habitat preferences, and ecological drivers for conservation of Cedrus deodara
Published 2025-05-01“…The current study analyses the population structure, spatial distribution, environmental factors, and future conservation strategies for Himalayan cedar populations in the Kashmir Himalayas. …”
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2173
Causal Links Between Renal Function and Cardiac Structure, Function, and Disease Risk
Published 2024-11-01“…This study aimed to determine the causal relationships between genetic susceptibility to impaired renal function and the risk of CVD endpoints, as well as cardiac structure and function detectable by cardiac magnetic resonance imaging (CMR). …”
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2174
Damage Detection in Beam Structures Based on Frequency-Domain Analysis Methods for Nonlinear Systems
Published 2025-05-01“…To improve the accuracy of the Nonlinear Auto-Regressive with eXogenous inputs (NARX) model and reduce the impact of noise interference, we proposed a Multi-input Multi-output Forward Regression Orthogonal Least Squares (MFROLS) algorithm for processing multi-input multi-output data to identify the NARX model of the same structural system. …”
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2175
Overall Layout Method of Frame Structure Plane Based on Generative Adversarial Network
Published 2025-05-01“…The core of this method involves constructing a model for the overall layout of the structural plan, which includes three main stages: constructing datasets, training and evaluating the model, and applying the model.MethodsIn the dataset construction stage, due to the limited number of data samples, and to reduce model training parameters, refine sample features, and improve training outcomes, this paper proposes three information representation methods for architecture, beams, and columns. …”
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2176
EPOCHS. XI. The Structure and Morphology of Galaxies in the Epoch of Reionization to z ∼ 12.5
Published 2025-01-01“…We present a structural analysis of 520 galaxy candidates at 6.5 < z < 12.5 with a signal-to-noise ratio of >10 σ in the F444W filter taken from the EPOCHS v1 sample, consisting of uniformly reduced deep JWST NIRCam data covering the CEERS, JADES GOODS-S, NGDEEP, SMACS-0723, GLASS, and PEARLS surveys. …”
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2177
A Black Box Doubly Fed Wind Turbine Electromechanical Transient Structured Model Fault Ride-Through Control Identification Method Based on Measured Data
Published 2025-06-01“…Firstly, according to the domestic and international new energy turbine fault ride-through standards, the fault ride-through segmentation control characteristics are summarized, and a general structured model for fault ride-through segmentation control of doubly fed wind turbines is constructed; Secondly, based on the measured hardware-in-the-loop data of the doubly fed wind turbine black box controller, the method of data segmentation preprocessing and structured model identification of the doubly fed wind turbine is proposed by utilizing statistical modal features and genetic Newton’s algorithm, and a set of generalized software simulation platforms for parameter identification is developed by combining Matlab and BPA; lastly, using the measured data of the doubly fed wind turbine in the black box and the software platform, the validity and accuracy of the proposed parameter identification method and software are tested in the simulation. …”
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2178
SPATIAL AND DIAMETRIC EVOLUTION OF A RARE SPECIES, PRUNUS AVIUM, IN DIFFERENT BIOTOPES IN NORTHWEST TUNISIA
Published 2023-03-01“…The results presented in this work show that P. avium individuals present a diametrical structure in the form of an “inverted J” translated by the dominance of the seedlings compared to the other classes. …”
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2179
Optimisation of the performance and structure of soluble ball seat metal sealing rings based on response surface
Published 2025-01-01“…On this basis, the Box-Behnken design is used to construct a four-factor and three-level experimental scheme, and a second-order response surface agent model is established by 25 sets of simulation data, with the dual optimization objectives of minimizing the equivalent force and maximizing the contact pressure, and the relationship between the structural parameters and the equivalent force and the contact pressure as the optimization function, and the range of geometrical parameters as the boundary conditions. …”
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2180
Beyond Euclid: an illustrated guide to modern machine learning with geometric, topological, and algebraic structures
Published 2025-01-01“…The enduring legacy of Euclidean geometry underpins classical machine learning, which, for decades, has been primarily developed for data lying in Euclidean space. Yet, modern machine learning increasingly encounters richly structured data that is inherently non-Euclidean. …”
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